Knowledge discovery from structural data-Reference-Cited by-同舟云学术

Knowledge discovery from structural data

Published:1995-11 Issue:3 Volume:5 Page:229-248
ISSN:0925-9902
Container-title:Journal of Intelligent Information Systems
language:en
Short-container-title:J Intell Inf Syst

Author:

Cook Diane J.,Holder Lawrence B.,Djoko Surnjani

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/BF00962235.pdf

Reference25 articles.

1. Bunke, H. and Allermann, G. (1983). Inexact graph matching for structural pattern recognition.Pattern Recognition Letters, 1(4), 245?253.

2. Cheeseman, P., Kelly, J., Self, M., Stutz, J., Taylor, W., and Freeman, D. (1988). Autoclass: A bayesian classification system. InProceedings of the Fifth International Workshop on Machine Learning (pp. 54?64).

3. Conklin, D., Fortier, S., Glasgow, J., and Allen. F. (1992). Discovery of spatial concepts in crystal-lographic databases. InProceedings of the ML92 Workshop on Machine Discovery (pp. 111?116).

4. Derthick, M. (1991). A minimal encoding approach to feature discovery. InProceedings of the Ninth National Conference on Artificial Intelligence (pp. 565?571).

5. Fisher, D. (1987). Knowledge acquisition via incremental conceptual clustering.Machine Learning, 2, 139?172.

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